IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/18257.html
   My bibliography  Save this paper

Úttekt á efnahagsspám Þjóðhagsstofnunar fyrir árin 1981-2002
[The accuracy of the National Economic Institute‘s forecasts 1981-2002]

Author

Listed:
  • Olafsdottir, Katrin

Abstract

The National Economic Institute in Iceland was a government institute responsible for producing and publishing a national economic forecast. The institute was closed in 2002. This paper measures the accuracy of the institute's forecasts from 1981-2002. The paper measures the accuracy of the GDP forecast, private consumption, investment, imports and exports of goods and services.

Suggested Citation

  • Olafsdottir, Katrin, 2006. "Úttekt á efnahagsspám Þjóðhagsstofnunar fyrir árin 1981-2002 [The accuracy of the National Economic Institute‘s forecasts 1981-2002]," MPRA Paper 18257, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:18257
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/18257/1/MPRA_paper_18257.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cumby, Robert E. & Modest, David M., 1987. "Testing for market timing ability : A framework for forecast evaluation," Journal of Financial Economics, Elsevier, vol. 19(1), pages 169-189, September.
    2. Vassiliki Koutsogeorgopoulou, 2000. "A Post-Mortem on Economic Outlook Projections," OECD Economics Department Working Papers 274, OECD Publishing.
    3. Ash, J. C. K. & Smyth, D. J. & Heravi, S. M., 1998. "Are OECD forecasts rational and useful?: a directional analysis," International Journal of Forecasting, Elsevier, vol. 14(3), pages 381-391, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Olafsdottir, Katrin & Sigurdsson, Kari, 2007. "Hversu vel tekst til með verðbólguspár greiningardeilda? [How accurate are the inflation forecasts published by the commercial banks?]," MPRA Paper 18288, University Library of Munich, Germany.
    2. Bourmpoula, Evangelia. & Wieser, Christina., 2014. "An accuracy assessment of the global employment trends' unemployment rate forecasts," Global Employment Trends Reports 994888903402676, International Labour Office, Economic and Labour Market Analysis Department.
    3. Krkoska, Libor & Teksoz, Utku, 2009. "How reliable are forecasts of GDP growth and inflation for countries with limited coverage?," Economic Systems, Elsevier, vol. 33(4), pages 376-388, December.
    4. Oliver Blaskowitz & Helmut Herwartz, 2008. "Testing directional forecast value in the presence of serial correlation," SFB 649 Discussion Papers SFB649DP2008-073, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    5. Stekler, H. O. & Petrei, G., 2003. "Diagnostics for evaluating the value and rationality of economic forecasts," International Journal of Forecasting, Elsevier, vol. 19(4), pages 735-742.
    6. Vuchelen, Jef & Gutierrez, Maria-Isabel, 2005. "A direct test of the information content of the OECD growth forecasts," International Journal of Forecasting, Elsevier, vol. 21(1), pages 103-117.
    7. Ildeberta Abreu, 2011. "International organisations’ vs. private analysts’ forecasts: an evaluation," Working Papers w201120, Banco de Portugal, Economics and Research Department.
    8. Tim Meyer, 2019. "On the Directional Accuracy of United States Housing Starts Forecasts: Evidence from Survey Data," The Journal of Real Estate Finance and Economics, Springer, vol. 58(3), pages 457-488, April.
    9. Bourmpoula, Evangelia. & Wieser, Christina., 2014. "An accuracy assessment of the global employment trends' unemployment rate forecasts," ILO Working Papers 994888903402676, International Labour Organization.
    10. Jef Vuchelen & Maria-Isabel Gutierrez, 2005. "Do the OECD 24 month horizon growth forecasts for the G7-countries contain information?," Applied Economics, Taylor & Francis Journals, vol. 37(8), pages 855-862.
    11. repec:ilo:ilowps:488890 is not listed on IDEAS
    12. Greer, Mark, 2003. "Directional accuracy tests of long-term interest rate forecasts," International Journal of Forecasting, Elsevier, vol. 19(2), pages 291-298.
    13. Krkoska, Libor & Teksoz, Utku, 2007. "Accuracy of GDP growth forecasts for transition countries: Ten years of forecasting assessed," International Journal of Forecasting, Elsevier, vol. 23(1), pages 29-45.
    14. Mihaela SIMIONESCU, 2015. "The Evaluation of Global Accuracy of Romanian Inflation Rate Predictions Using Mahalanobis Distance," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 3(1), pages 133-149, March.
    15. Blaskowitz, Oliver & Herwartz, Helmut, 2014. "Testing the value of directional forecasts in the presence of serial correlation," International Journal of Forecasting, Elsevier, vol. 30(1), pages 30-42.
    16. Ito, Akitoshi, 1999. "Profits on technical trading rules and time-varying expected returns: evidence from Pacific-Basin equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 7(3-4), pages 283-330, August.
    17. Peter Rowland & Hugo OLiveros C., 2003. "Colombian Purchasing Power Parity Analysed Using a Framework of Multivariate Cointegration," Borradores de Economia 252, Banco de la Republica de Colombia.
    18. Paulo Júlio & Pedro M. Esperança, 2012. "Evaluating the forecast quality of GDP components: An application to G7," GEE Papers 0047, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Apr 2012.
    19. A Börsch-Supan & A Brugiavini, 2001. "Savings: the policy debate in Europe," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 17(1), pages 116-143, Spring.
    20. Garcia, Philip & Irwin, Scott H. & Leuthold, Raymond M. & Yang, Li, 1997. "The value of public information in commodity futures markets," Journal of Economic Behavior & Organization, Elsevier, vol. 32(4), pages 559-570, April.

    More about this item

    Keywords

    Economic forecast; forecast error; root mean square error;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:18257. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.